/TeamFormationAssistant

An assistant which will take the project requirements, team members availability, skill level, tools preferred, etc. as input and assigns the members for the new team.

Primary LanguageHTMLMIT LicenseMIT

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Team Formation Assistant

Problem Statement

Build an assistant which will take the project requirements, team members availability, skill level, tools preferred, etc. as input and assigns the members for the new team.

Project Objectives

➢ Design a form for the user to enter data
➢ Design a dashboard to showcase the generated team assignments
➢ Create and Manage a database with team members, Projects, Assignments data.
➢ Write an algorithm which will take the project requirements, team members availability, skill level, tools preferred, etc. as input and assigns the members for the new team.

Reasons to pick this project in Project 3:

  1. One click installation with Docker. You can simply focus on experiments without wasting time in installation.
  2. Well documented Wiki for all the underlying algorithms and database description.
  3. Extensive testing.
  4. Easy Testing Set up for Project 3.

Video link

Development Environment Setup

Project 2:

Team Formation Assistant Project 2

Project 1:

Team Formation Assistant

How we plan to carry out the project

Algorithm Implementation

We plan to code the application in Python3. Python ML libraries will be used for Cluster identification.

Database Implementation:

We plan to store team members into an MySQL database. Python files import the data and process it and store the final result back to the database.

Frontend Implementation:

Team members will be able to submit a form to consider them as part of project assignment. Final team assignment will posted on the homepage dashboard. We plan to implement the dashboard and form using HTML, CSS, JavaScript

Linting: Code Styling, Formatting and Syntax Checking:

Flake8, ESlint, Prettier

Automated Analysis Tool used:

Code Climate

We have created a wiki page containing project details including project workflow, setup, dictionary, data model,

Here are a few screenshots of the project